sharepointlib 0.0.44

Microsoft SharePoint client Python package that uses the requests library

sharepointlib

• Description
• Usage
• Installation
• Docstring
• License

Package Description

Microsoft SharePoint client Python package that uses the requests library.

[!IMPORTANT]
This packages uses pydantic v1!

Usage

From a script:

import sharepointlib
import pandas as pd

client_id = "123..."
tenant_id = "456..."
client_secret = "xxxx"
sp_domain = "companygroup.sharepoint.com"

sp_site_name = "My Site"
sp_site_id = "companygroup.sharepoint.com,1233124124"
sp_site_drive_id = "b!1234567890"

# Initialize SharePoint client
sharepoint = sharepointlib.SharePoint(
    client_id=client_id,
    tenant_id=tenant_id,
    client_secret=client_secret,
    sp_domain=sp_domain
)

# Gets the site ID for a given site name
response = sharepoint.get_site_info(name=sp_site_name)
if response.status_code == 200:
    print(response.content["id"])
    df = pd.DataFrame([response.content])
    print(df)

# Gets the hostname and site details for a specified site ID
response = sharepoint.get_hostname_info(site_id=sp_site_id)
if response.status_code == 200:
    df = pd.DataFrame([response.content])
    print(df)

Drives:

# Gets a list of the Drive IDs for a given site ID
response = sharepoint.list_drives(site_id=sp_site_id)
if response.status_code == 200:
    df = pd.DataFrame(response.content)
    print(df)

# Gets the folder ID for a specified folder within a drive ID
response = sharepoint.get_dir_info(
    drive_id=sp_site_drive_id,
    path="Sellout/Support"
)
if response.status_code == 200:
    df = pd.DataFrame([response.content])
    print(df)

# List content (files and folders) of a specific folder
response = sharepoint.list_dir(
    drive_id=sp_site_drive_id,
    path="Sellout/Support"
)
if response.status_code == 200:
    df = pd.DataFrame(response.content)
    print(df)

# List content (files and folders) of a specific folder changing the filename
#
# The "alias" column allows simplifying the value of the "name" column using regular expressions.
# Example: column name: My_Filename_20251107.xlsx –> alias parameter: r"_\d{8}" –> alias column: My_Filename.xlsx.
#
# If the alias is set to None, then the regular expression r"$^" is used; which means the alias column will be identical
# to the name column - in other words, the value of the "alias" column will be the same as that of the "name" column.
response = sharepoint.list_dir(
    drive_id=sp_site_drive_id,
    path="Sellout/Support",
    alias=r"_\d{8}"
)
if response.status_code == 200:
    df = pd.DataFrame(response.content)
    print(df)

# Creates a new folder in a specified drive ID
response = sharepoint.create_dir(
    drive_id=sp_site_drive_id,
    path="Sellout/Support",
    name="Archive"
)
if response.status_code in (200, 201):
    df = pd.DataFrame([response.content])
    print(df)

response = sharepoint.create_dir(
    drive_id=sp_site_drive_id,
    path="Sellout/Support",
    name="Test"
)
if response.status_code in (200, 201):
    df = pd.DataFrame([response.content])
    print(df)

# Deletes a folder from a specified drive ID
response = sharepoint.delete_dir(
    drive_id=sp_site_drive_id,
    path="Sellout/Support/Test"
)
if response.status_code in (200, 204):
    print("Folder deleted successfully")

# Renames a folder in a specified drive ID
response = sharepoint.rename_folder(
    drive_id=sp_site_drive_id,
    path="Sellout/Support",
    new_name="Old"
)
if response.status_code == 200:
    df = pd.DataFrame([response.content])
    print(df)

# Retrieves information about a specific file in a drive ID
response = sharepoint.get_file_info(
    drive_id=sp_site_drive_id,
    filename="Sellout/Support/Sellout.xlsx"
)
if response.status_code in (200, 202):
    print(response.content["id"])
    df = pd.DataFrame([response.content])
    print(df)

# Perform check-out of a file
response = sharepoint.check_out_file(
    drive_id=sp_site_drive_id,
    filename="Sellout/Support/Sellout.xlsx"
)
if response.status_code in (200, 204):
    print("Check-out completed successfully")

# Perform check-in of a file
response = sharepoint.check_in_file(
    drive_id=sp_site_drive_id,
    filename="Sellout/Support/Sellout.xlsx",
    comment="Reviewed and approved"
)
if response.status_code in (200, 204):
    print("Check-in completed successfully")

# Copy a file from one folder to another within the same drive ID
response = sharepoint.copy_file(
    drive_id=sp_site_drive_id,
    filename="Sellout/Support/Archive/My Book.xlsx",
    target_path="Sellout/Support/",
    new_name="My Book Copy.xlsx"
)
if response.status_code in (200, 202):
    print("File copied successfully")

# Copy a file from one drive/site to another (cross-drive copy)
# Copies a file from one drive (or site) to another drive/site – even across 
# different sites!
# This is the ONLY reliable method to copy files BETWEEN different document 
# libraries/drives
# Works efficiently with files of any size (0 bytes → several GB) using streaming
response = sharepoint.copy_file_stream(
    source_drive_id="b!ABC123...",
    source_path="Sellout/2024/Sellout_November.xlsx",
    target_drive_id="b!XYZ987...",
    target_path="Archive/2024",
    new_name="Sellout_November_2024_Backup.xlsx",
    timeout=7200
)

if response.status_code in (200, 201):
    print("File copied successfully between drives!")
    df = pd.DataFrame([response.content])
    print(df)

# Moves a file from one folder to another within the same drive ID
response = sharepoint.move_file(
    drive_id=sp_site_drive_id,
    filename="Sellout/Support/Book1.xlsx",
    target_path="Sellout/Support/Archive/",
    new_name="My Book.xlsx"
)
if response.status_code == 200:
    df = pd.DataFrame([response.content])
    print(df)

# Deletes a file from a specified drive ID
response = sharepoint.delete_file(
    drive_id=sp_site_drive_id,
    filename="Sellout/Sellout.xlsx"
)
if response.status_code in (200, 204):
    print("File deleted successfully")

# Renames a file in a specified drive ID.
response = sharepoint.rename_file(
    drive_id=sp_site_drive_id,
    filename="Sellout/Support/Archive/Sellout.xlsx",
    new_name="Sellout_New_Name.xlsx"
)
if response.status_code == 200:
    df = pd.DataFrame([response.content])
    print(df)

# Downloads a file from a specified remote path in a drive ID to a local path
# Examples for local_path (databricks):
#   local_path=r"/Workspace/Users/[e-mail]/Sellout.xlsm"
#   local_path=r"/Volumes/lakehouse/sadp/Sellout.xlsm"
response = sharepoint.download_file(
    drive_id=sp_site_drive_id,
    remote_path=r"Sellout/Support/Sellout.xlsx",
    local_path=r"C:\Users\admin\Downloads\Sellout.xlsx"
)
if response.status_code == 200:
    print("File downloaded successfully")

# Downloads all files from a specified remote path in a drive ID to a local path
# Examples for local_path (databricks):
#   local_path=r"/Workspace/Users/[e-mail]/"
#   local_path=r"/Volumes/lakehouse/sadp/"
response = sharepoint.download_all_files(
    drive_id=sp_site_drive_id,
    remote_path=r"Sellout/Support",
    local_path=r"C:\Users\admin\Downloads"
)
if response.status_code == 200:
    df = pd.DataFrame(response.content)
    display(df)  # print(df)

# Downloads an Excel file from SharePoint directly into memory and loads it into a Pandas DataFrame
from io import BytesIO

response = sharepoint.download_file_to_memory(
    drive_id=sp_site_drive_id,
    remote_path="Sellout/Support/Sellout.xlsx"
)
if response.status_code == 200 and response.content is not None:
    excel_data = BytesIO(response.content)
    df = pd.read_excel(excel_data)
    print(df)

# Uploads a file to a specified remote path in a SharePoint drive ID
response = sharepoint.upload_file(
    drive_id=sp_site_drive_id,
    local_path=r"C:\Users\admin\Downloads\Sellout.xlsx",
    remote_path=r"Sellout/Support/Archive/Sellout.xlsx"
)
if response.status_code in (200, 201):
    df = pd.DataFrame([response.content])
    print(df)

# Close
del(sharepoint)

Installation

Install python and pip if you have not already.

Then run:

pip install pip --upgrade

For production:

pip install sharepointlib

This will install the package and all of it's python dependencies.

If you want to install the project for development:

git clone https://github.com/aghuttun/sharepointlib.git
cd sharepointlib
pip install -e ".[dev]"

Docstring

The script's docstrings follow the numpydoc style.

License

BSD License (see license file)

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